Underwater imaging by random coding structured lighting

doi:10.1016/j.optlaseng.2024.108497

2024-12-01

PRE

DOI：10.1016/j.optlaseng.2024.108497

原文链接

原文求助

摘要

En 中文

The absorption and scattering of light are major challenges in underwater imaging. In this paper, we propose an underwater imaging method that employs randomly encoded structured light with scanning mode to enhance underwater image visibility. The backscattered light induced by the random light pattern is effectively canceled out through frame image integration along the scanning direction. The correlation between the random light pattern and the convolutional image formulates the blurred target. Finally, the deconvolution algorithm is applied to recover the target image. Our method theoretically can completely eliminate the backscatter produced during the imaging process. In our experiments, our method produces clearer target images with less noise compared to some state-of-the-art single underwater image processing methods.

Keyword:

Underwater imaging

Structured light

Backscatter light

Coded structured light

期刊

Optics and Lasers in Engineering

IF:

3.7

论文数:

7.3K

被引数:

1.7W

机构

ocean university of china

学者数:

3.1W

论文数: 2.0W

被引数: 21

引用论文

Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera 使用水下3D距离门控相机自动估算自由游动的鱼的长度

AQUACULTURAL ENGINEERING

IF4.3

2022-05-01

OAAI

Risholm, Petter; Mohammed, Ahmed; Kirkhus, Trine; Clausen, Sigmund; Vasilyev, Leonid; Folkedal, Ole; Johnsen, Oistein; Haugholt, Karl Henrik; Thielemann, Jens

An Underwater Image Enhancement Benchmark Dataset and Beyond

IEEE TRANSACTIONS ON IMAGE PROCESSING

IF13.7

2020-01-01

1.1K

OAAI

Li, Chongyi; Guo, Chunle; Ren, Wenqi; Cong, Runmin; Hou, Junhui; Kwong, Sam; Tao, Dacheng

Polarization descattering imaging through turbid water without prior knowledge

OPTICS AND LASERS IN ENGINEERING

IF3.7

2022-01-01

PREAI